AI Opportunity Perception and Workplace Wellbeing: A Study on Student Interns in the Era of Smart Technology
Abstract
The development of technology, especially in the form of artificial intelligence (AI), has become a major focus in the era of globalisation. The main goal of AI is to develop systems and machines that have the ability to think like humans. While there are many benefits offered by AI, it must be recognised that there are also adverse effects that must be considered. However, research also shows that AI has the potential to improve employee well-being by providing personalised support and encouraging a healthy work-life balance. This study aims to analyse the relationship between AI opportunity perception and workplace well-being among student interns in Jabodetabek. The research method used was quantitative with non-probability sampling technique, namely convenience sampling. Data were collected through an online questionnaire involving 129 participants from various universities. The results showed a significant positive relationship between AI opportunity perception and workplace well-being. Students with high AI opportunity perception tend to have better workplace well-being. This study suggests the importance of understanding and implementing AI to improve workplace well-being.
Perkembangan teknologi, terutama dalam bentuk kecerdasan buatan (AI), telah menjadi fokus utama dalam era globalisasi. Tujuan utama dari AI adalah untuk mengembangkan sistem dan mesin yang memiliki kemampuan berpikir seperti manusia. Meskipun banyak manfaat yang ditawarkan oleh AI, perlu diakui bahwa ada juga dampak buruk yang harus diperhatikan. Walaupun demikian, penelitian juga menunjukkan bahwa AI memiliki potensi untuk meningkatkan kesejahteraan psikologis karyawan dengan menyediakan dukungan personal dan mendorong keseimbangan hidup kerja yang sehat. Penelitian ini bertujuan untuk menganalisis hubungan persepsi peluang kecerdasan buatan (AI) dengan kesejahteraan di tempat kerja pada mahasiswa magang di Jabodetabek. Metode penelitian yang digunakan adalah kuantitatif dengan teknik non-probability sampling, yaitu convenience sampling. Data dikumpulkan melalui kuesioner daring yang melibatkan 129 partisipan dari berbagai universitas. Hasil penelitian menunjukkan adanya hubungan positif yang signifikan antara persepsi peluang AI dan kesejahteraan psikologis di tempat kerja. Mahasiswa dengan persepsi peluang AI yang tinggi cenderung memiliki kesejahteraan di tempat kerja yang lebih baik. Penelitian ini menyarankan pentingnya pemahaman dan penerapan AI untuk meningkatkan kesejahteraan karyawan di tempat kerja.
Keywords
Full Text:
FULL TEXTReferences
Afandi, A. R., & Kurnia, H. (2023). Academy of social science and global citizenship journal revolusi teknologi: Masa depan kecerdasan buatan (AI) dan dampaknya terhadap masyarakat. Academy of Social Science and Global Citizenship Journal, 3(1), 9–13. https://doi.org/10.47200/AoSSaGCJ.v3il.1837
Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. In Journal of Economic Perspectives (Vol. 33, Issue 2, pp. 31–50). American Economic Association. https://doi.org/10.1257/jep.33.2.31
Agustin, I., & Maryam, E. W. (2022). Well-being workplace for pt x employees in sidoarjo. Academia Open, 6. https://doi.org/10.21070/acopen.6.2022.2195
Amanda, L., Yanuar, F., & Devianto, D. (2019). Uji validitas dan reliabilitas tingkat partisipasi politik masyarakat kota padang. Jurnal Matematika UNAND, 8(1), 179–189.
Babu T, N. S., Marda, K., Mishra, A., Bhattar, S., & Ahluwalia, A. (2024). The impact of artificial intelligence in the workplace and its effect on the digital wellbeing of employees. Journal for Studies in Management and Planning, 10(4). https://doi.org/10.5281/zenodo.10936348
Bader, V., & Kaiser, S. (2019). Algorithmic decision-making? The user interface and Its role for human involvement in decisions supported by artificial intelligence. Organization, 26(5), 655–672. https://doi.org/10.1177/1350508419855714
Bartels, A. L., Peterson, S. J., & Reina, C. S. (2019). Understanding well-being at work: Development and validation of the eudaimonic workplace well-being scale. PLoS ONE, 14(4). https://doi.org/10.1371/journal.pone.0215957
Bellmann, L., & Hübler, O. (2020). Working from home, job satisfaction and work–life balance – robust or heterogeneous links? International Journal of Manpower, 42(3), 424–441. https://doi.org/10.1108/IJM-10-2019-0458
Bullock, J. B. (2019). Artificial intelligence, discretion, and bureaucracy. American Review of Public Administration, 49(7), 751–761. https://doi.org/10.1177/0275074019856123
Chang, Q., X, P., Manikandan, N., & Ramesh, S. (2022). Artificial intelligence technologies for teaching and learning in higher education . International Journal of Reliability, Quality and Safety Engineering, , 29(05). https://doi.org/10.1142/S021853932240006X
Chen, H., Xu, X., & Phillips, P. (2018). Emotional intelligence and conflict management styles. International Journal of Organizational Analysis, 27(2).
Chuang, S. (2020). An empirical study of displaceable job skills in the age of robots. European Journal of Training and Development, 45(6–7), 617–632. https://doi.org/10.1108/EJTD-10-2019-0183
Cooper, C. L., & Quick, J. C. (2017). The handbook of stress and health : A guide to research and practice. John Wiley & Sons, Incorporated.
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Fridayanti, F., Kardinah, N., & Nurul Fitri, T. J. (2019). Peran workplace well-being terhadap mental health: Studi pada karyawan disabilitas. Psympathic : Jurnal Ilmiah Psikologi, 6(2), 191–200. https://doi.org/10.15575/psy.v6i2.5754
Girasa, R. (2020). Artificial intelligence as a disruptive technology economic transformation and government regulation.
Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. International Journal of Management Education, 18(1). https://doi.org/10.1016/j.ijme.2019.100330
Hakim, R. Al, Mustika, I., & Yuliani, W. (2021). Validitas dan reliabilitas angket motivasi berprestasi. FOKUS (Kajian Bimbingan & Konseling Dalam Pendidikan), 4(4), 263. https://doi.org/10.22460/fokus.v4i4.7249
Highhouse, S., & Payam, Y. (1996). Perspectives, perceptions, and risk-taking behavior. Organizational Behavior and Human Decision Processes, 65(2), 159–167. https://doi.org/10.1006/obhd.1996.0014
Hikmawati, N., Sufiyanto, M. I., & Jamilah. (2023). Konsep dan implementasi kecerdasan buatan (artificial intelligence) dalam manajemen kurikulum sd/mi. ABUYA: Jurnal Pendidikan Dasar, 1. https://jurnal.inkadha.ac.id/index.php/abuya
Howard, J. (2019). Artificial intelligence: Implications for the future of work. In American Journal of Industrial Medicine (Vol. 62, Issue 11, pp. 917–926). Wiley-Liss Inc. https://doi.org/10.1002/ajim.23037
Huang, M.-H., & Rust, R. T. (2020). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 30–50. https://doi.org/10.1007/s11747-020-00749-9/Published
Iskandar, R., & Jayanto, D. N. (2022). Analisis pengaruh kemampuan dalam mengoperasikan dan memanfaatkan teknologi terhadap kinerja karyawan. JURIMEA, 2(1). http://journal.sinov.id/index.php/sinoveka/indexHalamanUTAMAJurnal:https://journal.sinov.id/index.php
Issac, E. (2023). Convenience and purposive sampling techniques: Are they the same? . International Journal of Innovative Social & Science Education Research, 11(1), 1–7. www.seahipaj.org
Kim, Y., & Choi, S. (2019). The impact of artificial intelligence on creative problem solving: An empirical study . Journal of Business and Psychology, 34(4), 567–582. https://doi.org/10.1007/s10869-019-09675-8
Koa, JohanesV. A. A., & Mutia, K. D. L. (2021). Pengaruh persepsi, motivasi, minat dan pengetahuan tentang pajak mahasiswa program studi akuntansi universitas nusa cendana terhadap pilihan berkarir di bidang perpajakan. Jurnal Akuntansi: Transparansi Dan Akuntabilitas, 9(2), 131–143.
Kong, H., Jiang, X., Zhou, X., Baum, T., Li, J., & Yu, J. (2023). Influence of artificial intelligence (ai) perception on career resilience and informal learning. Tourism Review, 79(1), 219–233. https://doi.org/10.1108/tr-10-2022-0521
Kour, J., El-Den, J., & Sriratanaviriyakul, N. (2019). The role of positive psychology in improving employees’ performance and organizational productivity: An experimental study. Procedia Computer Science, 161, 226–232. https://doi.org/10.1016/j.procs.2019.11.118
Malik, M., Sarwar, S., & Orr, S. (2021). Agile practices and performance: Examining the role of psychological empowerment. International Journal of Project Management, 39(1), 10–20. https://doi.org/10.1016/j.ijproman.2020.09.002
Masrichah, S. (2023). Ancaman dan peluang artificial intelligence (AI). Jurnal Pendidikan Dan Sosial Humaniora, 3(3), 83–101. https://doi.org/10.55606/khatulistiwa.v3i3
Misnawati. (2023). Chat GPT: Keuntungan, risiko, dan penggunaan bijak dalam era kecerdasan buatan. Jurnal Prosiding Mateandrau, 2(1), 54–67.
Nazareno, L., & Schiff, D. S. (2021). The impact of automation and artificial intelligence on worker well-being. Technology in Society, 67. https://doi.org/10.1016/j.techsoc.2021.101679
Ningsih, W. T., Chayatun Machsunah, Y., Ayuningtyas, A., Dewi Retnowati, N., & Nugraheny, D. (2023). Pengenalan kecerdasan buatan : Bagaimana ai mempengaruhi kehidupan manusia. Communnity Development Journal, 4(6)
Pabubung, M. R. (2023). Era kecerdasan buatan dan dampak terhadap martabat manusia dalam kajian etis. Jurnal Filsafat Indonesia |, 6(1).
Park, P. S., Goldstein, S., O’Gara, A., Chen, M., & Hendrycks, D. (2023). AI Deception: A survey of examples, risks, and potential solutions. http://arxiv.org/abs/2308.14752
Parry, E., & Battista, V. (2019). The impact of emerging technologies on work: a review of the evidence and implications for the human resource function. Emerald Open Research, 1, 5. https://doi.org/10.12688/emeraldopenres.12907.1
Pratama, R., Aisyah, S. A., Putra, A. M., Sirodj, R., & Afgan, M. W. (2023). Correlational research. JIP; Jurnal Ilmiah Pendidikan, 6(3), 1754–1759. https://doi.org/10.54371/jiip.v6i3.1420
Shank, D. B., Graves, C., Gott, A., Gamez, P., & Rodriguez, S. (2019). Feeling our way to machine minds: People’s emotions when perceiving mind in artificial intelligence. Computers in Human Behavior, 98, 256–266. https://doi.org/10.1016/j.chb.2019.04.001
Siergar, L. Y., & Nasution, M. I. P. (2020). Perkembangan teknologi informasi terhadap peningkatan bisnis online. Jurnal Ilmiah Manajemen Dan Bisnis, 2(1), 71–75. https://doi.org/10.30606/hjimb
Slamet, R., & Wahyuningsih, S. (2022). Validitas dan realibilitas terhadap instrumen kepuasan kerja. Jurnal Manajemen Dan Bisnis.
Sulartopo, S., Kholifah, S., Danang, D., & Santoso, J. T. (2023). Transformasi proyek melalui keajaiban kecerdasan buatan: mengeksplorasi potensi ai dalam project management. Jurnal Publikasi Ilmu Manajemen (JUPIMAN), 2(2), 363–392. https://doi.org/10.55606/jupiman.v2i2.2477
Tambos, C. A. (2023). Insinyur teknik informatika: Kini dan masa depan. Jurnal Kependudukan Dan Pembangunan Lingkungan, 4(1). http://jkpl.ppj.unp.ac.id/index.php/JKPL/index
Tschang, F. T., & Almirall, E. (2021). Artificial intelligence as augmenting automation: implications for employment. Academy of Management Perspectives , 35(4), 642–659.
Tursunbayeva, A., & Renkema, M. (2023). Artificial intelligence in health-care: implications for the job design of healthcare professionals. Asia Pacific Journal of Human Resources, 61(4), 845–887. https://doi.org/10.1111/1744-7941.12325
Utami, Y., Rasmana, P. M., & Khairunnisa. (2023). Uji validitas dan uji reliabilitas instrument penilaian kinerja dosen. Jurnal Sains Dan Teknologi, 4(2), 21–24.
Wingerden, V. J., & Niks, I. M. W. (2017). Construction and validation of the perceived opportunity to craft scale. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00573
Winkler, C., Schlosser, F., & Muschalla, B. (2019). The impact of artificial intelligence on digital well-being in the workplace: A longitudinal study. . Computers in Human Behavior, 97, 292–300. http://doi.org/10.1016/j.chb.2019.03.007
Xu, G., Xue, M., & Zhao, J. (2023). The relationship of artificial intelligence opportunity perception and employee workplace well-being: A moderated mediation model. International Journal of Environmental Research and Public Health, 20(3). https://doi.org/10.3390/ijerph20031974
Yam, K. C., Jackson, J. C., Barnes, C. M., Lau, J., Qin, X., & Lee, H. Y. (2020). The rise of covid-19 cases is associated with support for world leaders. Proceedings of the National Academy of Sciences , 117(41), 25429–25433. https://doi.org/10.1073/pnas.2009252117/-/DCSupplemental
Zheng, X., Zhu, W., Zhao, H., & Zhang, C. (2015). Employee well-being in organizations: theoretical model, scale development, and cross-cultural validation. . Journal of Organizational Behavior, 36(5), 621–644. https://doi.org/10.1002/job.1990
Zhu, X., Wang, S., & He, Q. (2011). Impact of skill requirements on employees’ thriving at work: From the perspective of artificial inteligence embedding. . Foreign Econ. Manag, 43, 15–25. https://doi.org/10.16538/j.cnki.fem.20210330.106
DOI: http://dx.doi.org/10.30872/psikostudia.v13i3.15959
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Olivia Rahadita Sumantri., dkk
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Indexing by :
_________________________________________
PSIKOSTUDIA: Jurnal Psikologi Published by Faculty of Social and Political Siences, University of Mulawarman, Samarinda, East Kalimantan and This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
_________________________________________
PSIKOSTUDIA: Jurnal Psikologi
Department of Psychology
Faculty of Social and Political Siences, University of Mulawarman
Jl. Muara Muntai Kampus Gn. Kelua Samarinda 75411
Phone: +62 813 35350368
E-Mail: psikostudia@fisip.unmul.ac.id